Principal AI/ML Ops Platform Engineer

Duties

Design, build, and deploy machine learning (ML) models to derive actionable insights and solve complex problems.

Work in the full lifecycle of ML model development from data preparation and feature engineering to model training, evaluation, and deployment.

Apply a variety of ML algorithms, techniques, and frameworks to solve complex business challenges.

Assemble modules into end-to-end systems, ensuring seamless integration and functionality.

Collaborate closely with Data Scientists to facilitate highly productive experimentation, model construction, and validation, fostering a sense of teamwork and shared success.

Contribute to the continuous improvement of ML systems by staying abreast of advancements in software engineering and ML.

Requirements

• Master’s degree (or foreign equivalent) in computer science or related field; plus 5 years of experience in job offered or software development operations and data engineering.
• Bachelor’s degree plus 7 years of experience also acceptable.
• Knowledge of programming languages (Python, R, or SQL), Terraform, Kubernetes, Unix, CI/CD tools, and AWS or Azure cloud ecosystems.
• Experience with cloud operations, DevSecOps, and deploying ML models into production environments.